RBMT as an alternative to SMT for under-resourced languages
نویسندگان
چکیده
Despite SMT (Statistical Machine Translation) recently revolutionised MT for major language pairs, when addressing under-resourced and, to some extent, mildly-resourced languages, it still faces some difficulties such as the need of important quantities of parallel texts, the limited guaranty of the quality, etc. We thus speculate that RBMT (Rule Based Machine Translation) can fill the gap for these languages.
منابع مشابه
A Hybrid Machine Translation System Based on a Monotone Decoder
In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...
متن کاملToward a Rule-Based System for English-Amharic Translation
We describe key aspects of an ongoing project to implement a rule-based English-to-Amharic and Amharic-to-English machine translation system within our L framework. L is based on Extensible Dependency Grammar (Debusmann, 2007), a multi-layered dependency grammar formalism that relies on constraint satisfaction for parsing and generation. In L, we extend XDG to multiple languages and translation...
متن کاملA case study on English-Malayalam Machine Translation
In this paper we present our work on a case study on Statistical Machine Translation (SMT) and Rule based machine translation (RBMT) for translation from English to Malayalam and Malayalam to English. One of the motivations of our study is to make a three way performance comparison, such as, a) SMT and RBMT b) English to Malayalam SMT and Malayalam to English SMT c) English to Malayalam RBMT an...
متن کاملEmploying Pivot Language Technique through Statistical and Neural Machine Translation Frameworks: the Case of Under-resourced Persian-spanish Language Pair
The quality of Neural Machine Translation (NMT) systems like Statistical Machine Translation (SMT) systems, heavily depends on the size of training data set, while for some pairs of languages, high-quality parallel data are poor resources. In order to respond to this low-resourced training data bottleneck reality, we employ the pivoting approach in both neural MT and statistical MT frameworks. ...
متن کاملAn Evaluation of Statistical Post-Editing Systems Applied to RBMT and SMT Systems
Statistical post-editing (SPE) of the output produced by rule-based MT (RBMT) systems has been reported to produce extraordinary BLEU (and other automatic evaluation) score improvements. SPE has also been applied to the output of statistical MT (SMT) systems, albeit with more mixed results. We present a statistical post-editing pipeline and evaluate the outputs using automatic and human evaluat...
متن کامل